The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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Details
Accumulation Missing Value Interpretation Zero Value Interpretation Time Series Transformation Time Series Differencing Time Series Missing Value Trimming Time Series Descriptive Statistics Input and Target Sequences Sliding Sequences Time Warping Sequence Normalization Sequence Scaling Similarity Measures User-Defined Functions and Subroutines Output Data Sets OUT= Data Set OUTMEASURE= Data Set OUTPATH= Data Set OUTSEQUENCE= Data Set OUTSUM= Data Set STATUS Variable Values Printed Output ODS Table Names ODS Graphics
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Examples
- References
| OUT= Data Set |
The OUT= data set contains the variables that are specified in the BY, ID, INPUT, and TARGET statements. If the ID statement is specified, the ID variable values are aligned and extended based on the ALIGN=, INTERVAL=, START=, and END= options. The values of the variables specified in the INPUT and TARGET statements are accumulated based on the ACCUMULATE= option, missing values are interpreted based on the SETMISSING= option, and zero values are interpreted using the ZEROMISS= option. The accumulated time series is transformed based on the TRANSFORM=, DIF=, and SDIF= options.